Clearly, when \(\tau _{t} \equiv 1 \; \forall t\) , the model is the base vMEM introduced by [1]}, so that only the second step above is needed, and inference is obtained by estimating the \(\mathbf {\xi }_{t}\)  parameters on the \(\lbrace  x^{(\xi )}_{t,i} = x_{t,i} / \mu _{i} \rbrace \)  values.
